2022 Saudi Arabia Smart Grid (SASG)最新文献_第2页

Minimization of Power Loss and Voltage Deviation by Using Solar Distributed Generation 利用太阳能分布式发电使功率损耗和电压偏差最小化

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10200499

Muath O. Alomani, Nawaf A. Alqunayibit

{"title":"Minimization of Power Loss and Voltage Deviation by Using Solar Distributed Generation","authors":"Muath O. Alomani, Nawaf A. Alqunayibit","doi":"10.1109/SASG57022.2022.10200499","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200499","url":null,"abstract":"This paper discusses the integration of solar distributed generation (SDG) with distribution networks to reduce the active power loss and the voltage deviation as well. In order to solve the distribution networks a backward/forward sweep (BFS) load flow method is adopted using MATLAB coding. The optimal placement and size of the solar distributed generator is determined by using a repeated load flow method (RLF) over the system buses for the minimization of active power loss and the voltage deviation of the network. In the first mode, the SDG supplies only active power to the distribution network, such as photovoltaic (PV) source. In the second mode, the SDG supplies both active and reactive power such as inverter-controlled PV systems. The adopted method is applied to the 33-bus distribution networks. Also, loss sensitivity factors (LSF) has been used in order to select the most affective bus for the SDG P-type to be connected across it to reduce the power loss. Furthermore, based on loss sensitivity factors (LSF) the second SDG P-type will be allocated to support the same purpose as well. Also, the voltage deviation (VD) will be calculated before and after allocating the optimal SDG PQ-type to show its impact. From the obtained results, it is found that adding the SDG minimizes the total losses, the voltage deviation and improves the voltage profile of distribution networks.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121748491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Information Security Model for an IoT-enabled Smart Grid in the Saudi energy sector 沙特能源部门物联网智能电网的信息安全模型

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10200572

Abeer Akkad, G. Wills, A. Rezazadeh

{"title":"An Information Security Model for an IoT-enabled Smart Grid in the Saudi energy sector","authors":"Abeer Akkad, G. Wills, A. Rezazadeh","doi":"10.1109/SASG57022.2022.10200572","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200572","url":null,"abstract":"The evolution of an Internet of Things-enabled Smart Grid affords better automation, communication, monitoring, and control of electricity consumption. It is now essential to supply and transmit the data required, to achieve better sensing, more accurate control, wider information communication and sharing, and more rational decision-making. However, the rapid growth in connected entities, accompanied by the increased demand for electricity, has resulted in several challenges to be addressed. One of these is securing the energy information exchange proactively, before an incident occurs. It is argued that Smart Grid systems were designed without any regard for security, which is considered a serious omission, especially for data security, energy information exchange, and the privacy of both the consumers and utility companies. This research is motivated by the gap identified in the requirements and controls for maintaining cybersecurity in the bi-directional data flow within the IoT-enabled Smart Grid. The Threat Modelling identified 9 internet-based threats. This research develops and confirms a security model which includes 45 relevant security controls and 7 security requirements on 7 access points. For future work, the confirmed model will be verified and validated using formal modelling methods.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121069873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Temperature Effect on Performance Parameters of Valve Regulated Lead Acid (VRLA) Batteries: An Experimental Study for off-grid system 温度对阀控铅酸蓄电池性能参数的影响:离网系统实验研究

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10199474

Khalid. R. Alshabib, Tolga Tural

引用次数: 0

How Firm Capacity and Forced Outage Rate Assumptions of Renewables Impact Capacity Expansion Model Results 可再生能源的企业产能和强制停运率假设如何影响产能扩张模型的结果

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10199184

A. Elshurafa, Marie Petitet, F. Felder

引用次数: 1

Online Partial Discharge Monitoring to Predict Arc Faults in Medium Voltage Bus Ducts 中压母线管道局部放电在线监测预测电弧故障

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10199511

G. Hashmi, A. Patel, R. A. Almisfer, M. Zahrani

{"title":"Online Partial Discharge Monitoring to Predict Arc Faults in Medium Voltage Bus Ducts","authors":"G. Hashmi, A. Patel, R. A. Almisfer, M. Zahrani","doi":"10.1109/SASG57022.2022.10199511","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10199511","url":null,"abstract":"Medium Voltage (MV) bus ducts use a nonuniform insulation system that relies on air and solid materials to achieve the required dielectric strength. The insulation defects commonly generate Partial Discharges (PDs) under nominal operating voltages, which eventually result in bus duct insulation deterioration and catastrophic failures due to arc faults. In this paper, online PD measurements conducted for 13.8kV bus ducts installed at an offshore substation are discussed. The PD measurements were performed using a portable monitor with an ultrasonic contact sensor. The measurement analysis was performed using established criteria based on best in-class industry practices and hands-on experience gained during several tests to assess the condition of HV equipment insulation systems. The measurement analysis concluded the presence of unacceptable PDs as per the industry practice acceptable limits. The bus ducts’ insulation faults were detected and accurately localized after analyzing several PD test results from different measurement points based on the amplitude comparison method. Further investigation revealed, the immediate cause of the PD was surface or tracking discharges due to moisture and dust accumulation in the air gap around the cushion insulating material placed between the bus ducts and the insulator supports. The deteriorated bus duct cushion material was replaced with new one. The PD measurements were repeated, and found at an acceptable level, confirming the integrity of the bus ducts’ fixed sections. In conclusion, the predictive maintenance of the bus ducts can be achieved on the basis of online PD monitoring, which is an effective, nondestructive, and noninvasive diagnostic tool to help detect and localize insulation defects. Thus prompt fixes can be planned accordingly to reduce equipment damage, flashovers, and personnel injuries, while enhancing the safety and reliability of the power systems in the future smart grid environment.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126429298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Economic & Environmental Merits of a Flexible Base-Load Power Network Under Large Solar PV Penetration 大规模太阳能光伏渗透下柔性基荷电网的经济与环境效益

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10200003

B. Alqahtani

引用次数: 0

Automated Cleaning System for Solar Panels 太阳能电池板的自动清洗系统

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10201028

Reema Alghamdi, Sarah Alsowayeh, Hind Almahri, Hana Alaamri

引用次数: 0

Optimal Power Flow Application On Load Increase, Contingency Constraint And Wind Integration Considering Uncertainty Of Wind 考虑风力不确定性的负荷增加、偶然性约束和风积分的最优潮流应用

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10200178

Mohammad Albahlal, Abdulaziz Alshalawi

引用次数: 0

Renewable Power Smoothing of a Hybrid System Utilizing Fuzzy Based Control of Battery Energy Storage 基于电池储能模糊控制的混合系统可再生能源平滑

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10200657

Sarah Abuouf, Muneera Alsaadoun, Mohammad Khalid

引用次数: 0

Variable shunt reactors control scheme for interconnected offshore facilities 海上互联设施可变并联电抗器控制方案

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI: 10.1109/SASG57022.2022.10200423

N. El Halabi, S. Al Ghamdi, I. AlJudaibi, Q. Huwait

引用次数: 0